{"id":1681760,"url":"https://alion.io/job/mindbridge-senior-data-science-engineer-canada-est-remote","title":"Senior Data Science Engineer (Canada, EST, Remote)","company":{"id":24944,"name":"Mindbridge","domain":"mindbridge.ai","url":"https://alion.io/company/mindbridge","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ottawa, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":138000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Interpretability","optional":true}],"status":"live","first_seen_at":"2026-08-24T04:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-12T01:43:42Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Role Overview \nWe are looking for a Senior Data Science Engineer to provide applied data science expertise within our Success Engineering team, helping customers maximize the value of MindBridge’s control points and ensembles. You will configure and tune existing models, assess their application to customer data, investigate model behaviour and results, and translate complex findings into practical solutions. Working primarily post-launch, you will partner closely with Success Engineering, Product, Engineering, and AI/ML teams to solve complex customer needs within MindBridge’s existing capabilities.\nWhat You Will Do \nApplied model & ensemble expertise \nMaintain deep working knowledge of MindBridge's core detection methodologies: scoring logic, risk indicators, and how ensembles combine individual control points into a single output. \nServe as the go-to technical resource within Success Engineering for questions about how a model or ensemble actually works. \nEngineering & AI/ML liaison \nMaintain an active, ongoing working relationship with Product, Engineering, and AI/ML teams to stay current on model changes, known limitations, and upcoming capability shifts. \nUse that relationship to bring well-informed, technically grounded context back to Product/Engineering when a configurability gap is identified, a clear technical brief on what was requested, why it isn't currently supported, and what the customer's underlying value requirement needs, not just an administrative escalation. \nConfigurability boundaries & value mapping \nDevelop and maintain authoritative understanding of how, why, and to what extent MindBridge's core models and ensembles can be configured, which parameters are flexible, which are structurally fixed, and the statistical or product reasoning behind each boundary. \nMap a customer's stated business value requirement onto the specific configuration options actually available, and explain in plain terms what is, and is not, achievable within the current product. \nPost-launch feasibility & configuration advisory \nEvaluate customer requests to add, modify, or reconfigure a control point or ensemble, and determine whether it is feasible with existing product capability and the customer's available data. \nDefine the specific data requirements: fields, quality, volume, structure — needed to support a proposed configuration. \nRecommend the configuration approach that best fits the customer's control objective within supported product capability. \nExplainability & customer communication \nTranslate model and ensemble behavior into language finance, audit, and compliance stakeholders can act on: what it measures, how it scores, and why a specific result occurred. \nSupport customers who need to justify or defend MindBridge's outputs to their own internal or external stakeholders, a recurring requirement in audit-facing use cases. \nRoot-cause diagnostics \nWhen a control point or ensemble underperforms post-launch, determine whether the cause is data quality, configuration, or a genuine product limitation, and recommend the correct fix. \nEscalation & product boundary stewardship \nDistinguish clearly between a configuration question and a request that requires new product capability, and route the latter through Product/Engineering governance. \nDo not build bespoke workarounds to cover product gaps; document and escalate them instead. \nEnablement & knowledge capture \nConvert recurring model and configuration questions into FAQs, decision guides, and training material for Success Engineers, Success Engineering Architects, and Delivery Services. \nBounded support to Delivery Services\nAct as an internal subject-matter-expert resource for Solutions Architects and Data Engineers specifically when an implementation calls for a control point or ensemble configuration that has not been built or validated before; not for routine, previously-validated feasibility questions, which remain owned by Delivery Services. \nThis is consultative, time-boxed input at the point a novel configuration is being designed, not ownership of the Technical Requirements Blueprint or any implementation deliverable, which remains with Delivery Services throughout the technical blueprint phase. \nRequired Qualifications \n5+ years of applied experience in data science, analytics engineering, or a closely related technical discipline, ideally supporting enterprise software customers after implementation. \nWorking knowledge of the statistical and machine learning techniques used in anomaly and risk detection — scoring models, ensemble/combination methods, outlier detection — sufficient to reason about why a model behaves as it does, not only what it outputs; building such models from scratch is not required. \nStrong SQL, Python and data literacy; able to independently investigate whether a data set can support a proposed control point or ensemble configuration. \nDemonstrated ability to translate technical model behavior into terms a non-technical, often finance, audit, or compliance stakeholder can act on. \nDirect experience working with enterprise customers on technical questions, in a support, technical account management, implementation, or applied customer-facing data science capacity. \nCredible enough with model internals and engineering constraints to partner directly with Engineering and AI/ML teams as a peer. This role sits between the customer-facing and product-technical sides, not solely on the customer-facing side. \nComfortable operating inside a defined product boundary: recommending within existing capability and escalating clearly rather than building around gaps. \nPreferred Qualifications \nExperience in audit, internal controls, financial risk, or fraud analytics. \nFamiliarity with explainability and interpretability expectations in regulated or audit-facing environments. \nExperience producing enablement content i.e. FAQs, playbooks, training materials, for internal technical teams. \nPrior experience in a dedicated post-implementation optimization function, as distinct from initial delivery. \nBackground in ML engineering, applied statistics, or a related technical field with direct exposure to production model constraints; not solely academic or research modeling experience. \nRequirements contingent on employment\nFulfill requirements necessary to obtain full background check.\nPay Range\nThe expected base salary range for this position is to $130,000 to $155,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills, experience and competencies, and unique qualifications.","description_format":"text","description_chars":6668,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Financial AI","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-10-02T09:47:13Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.531,"p_room":0.45,"age_days":47,"expected_fill_days":29,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/mindbridge-senior-data-science-engineer-canada-est-remote","json_url":"https://alion.io/job/mindbridge-senior-data-science-engineer-canada-est-remote.json","meta":{"generated_at":"2026-10-12T04:34:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7131,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":24944},"rest":"https://alion.io/mcp/rest/get_company?id=24944"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmindbridge-senior-data-science-engineer-canada-est-remote"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmindbridge-senior-data-science-engineer-canada-est-remote"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmindbridge-senior-data-science-engineer-canada-est-remote"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mindbridge-senior-data-science-engineer-canada-est-remote\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmindbridge-senior-data-science-engineer-canada-est-remote"}]}